Researching on the go, real-time!

This case study focuses on the user research I conducted for SugarBox Networks to understand commuter shopping behaviours. The goal was to uncover pain points and buying patterns within the metro environment, using guerrilla research methods to gain real-time insights from commuters in cities like Bangalore, Hyderabad, Delhi, and Mumbai. This research set the foundation for designing an engaging and intuitive e-commerce experience tailored to users on the move.

This case study focuses on the user research I conducted for SugarBox Networks to understand commuter shopping behaviours. The goal was to uncover pain points and buying patterns within the metro environment, using guerrilla research methods to gain real-time insights from commuters in cities like Bangalore, Hyderabad, Delhi, and Mumbai. This research set the foundation for designing an engaging and intuitive e-commerce experience tailored to users on the move.

This case study focuses on the user research I conducted for SugarBox Networks to understand commuter shopping behaviours. The goal was to uncover pain points and buying patterns within the metro environment, using guerrilla research methods to gain real-time insights from commuters in cities like Bangalore, Hyderabad, Delhi, and Mumbai. This research set the foundation for designing an engaging and intuitive e-commerce experience tailored to users on the move.

Client

Sugar Box Networks

Date

November 2022

Industry

Content Delivery Network

Scope of work

Research

UX

UI

About

SugarBox Networks is a technology startup revolutionizing internet access through its innovative hyperlocal content delivery network (CDN). By deploying local servers, known as "Edges," SugarBox enables users to access digital services like streaming, shopping, and e-learning seamlessly, even in areas with limited or no internet connectivity.



Challenge

The challenge was to introduce e-commerce as a new feature within SugarBox Networks' super app, focusing on enhancing user experience (UX) for product discoverability among metro commuters in cities like Bangalore, Hyderabad, Delhi, and Mumbai.

Role & Responsiblity

I was tasked with improving the UX for product discoverability, which involved conducting competitive analysis and user research to understand user behaviours and needs while commuting. My role was to design an intuitive and engaging e-commerce experience for users on the go, But first the reserach and this case study is about that.

Discovery

The discovery phase involved understanding the current landscape of e-commerce apps and identifying key features that enhance user experience, such as clear categorisation, personalised recommendations, robust search functionality, and impulse purchase encouragement. These insights were crucial for designing an effective e-commerce feature for SugarBox Networks.

Research Objective

Understand user moods and needs in a metro environment.

Understand user moods and needs in a metro environment.

Identify pain points and frustrations in current e-commerce experiences.

Identify pain points and frustrations in current e-commerce experiences.

Determine buying behavior patterns among commuters.

Determine buying behavior patterns among commuters.

Research & Insight gathering

One-on-One User Interviews

One-on-One User Interviews

One-on-One User Interviews

Need

Understand users' online shopping behaviour, focusing on fashion, lifestyle, home decor, and groceries.

Methodology

Conducted interviews at various metro stations targeting different age groups. Users were asked about their primary objectives with online shopping, the apps they use, and their willingness to shop on the spot. Participants were given a phone to simulate shopping and add items to a cart, which was recorded for analysis.

Types of Shopper

The results of the online survey revealed that people fell into each category in the following manner.

105

Product Focused

This shopper has a clear intent, seeking a specific product to purchase efficiently without distractions.

52

Browsers

Browsers enter stores or websites without a specific goal, enjoying exploration and discovery, and can be influenced by design, promotions, or inspiration.

92

Bargain Hunters

Prioritise discounts and special offers, making purchasing decisions based on price rather than brand loyalty.

06

Researchers

Researchers approach shopping methodically, comparing products, reading reviews, and analysing features to make informed decisions

00

One Time Shopper

Prioritise discounts and special offers, making purchasing decisions based on price rather than brand loyalty.

Online shopping behaviour

30 User’s: 70% - 30% women to men ratio

60%

60%

9 PM to 12 AM

9 PM

to 12 AM

9 PM to 12 AM

33%

33%

4 PM to 8 AM

4 PM

to 8 AM

4 PM to 8 AM

Preferred time for shopping

53%

53%

People wait for sales with offers and discounts

93%

93%

Prefer shopping from home

70%

70%

Shop with a goal in mind

82%

82%

Like products with return feature

60%

60%

are unhappy about ‘Inaccurate description of the products’

56.7%

56.7%

Add items to their cart or wishlist for later purchase

40%

40%

Likely to shop during offers

66.7%

66.7%

Buy products they don’t require

60%

60%

People just window shop online

96%

96%

Look at specifications or details of the apparels

63%

63%

Use the search feature and browsing to zeroin on their shopping list

3

3

main factors in buying decision

1.Discounts & Offers

2.Ratings & reviews

3.Good Brands

1.Discounts & Offers

2.Ratings & reviews

3.Good Brands

Diary Studies

Need

Observe how users engage with e-commerce platforms during peak commute times to assess available time for app exploration.

Methodology

Conducted at consistent times each day, focusing on morning and evening rush hours. The study monitored the influx of people on platforms, time spent on platforms, and when platforms became empty. along with the same detail in bogies of the metro’s.

Observing Commuters on Metro

Observing Commuters on Metro

Observation from 16 trips spanning 3 days in Bangalore metro system.

Observation from 16 trips spanning 3 days in Bangalore metro system.

6-8 mins

6-8 mins

Interval between 2 metros

2-4 mins

2-4 mins

Platform fills up before train arrives

14%

14%

Use phone during the morning hours

30%

30%

Use phone during the evening hours

Less than 10%

Less than 10%

Use phones from deboarding to exit

27%

27%

Use phone to calls only

50

50

Seating in each bogie

80/20

80/20

Men to women ratio

85 People

85 People

avg. during peak hours

44 People

44 People

avg. during non peak hours

Whatsapp

Whatsapp

Most commonly used app

Social media, Music and News

Social media, Music and News

Social media, Music and News

application ranked second in usage

Insight

To understand the cognitive time and space allocated for mobile usage, the data highlights a clear pattern: people are rushed in the morning and more relaxed or free in the evening.

Creep Study

Need

Observe users' app usage behavior discreetly in metro environments.

Methodology

Methodology: Unobtrusive observation of users on mobile devices in metro stations to identify which apps are commonly used and user behaviors in that app.

30 user’s Interviewed

30 user’s Interviewed

50% Men - 50% Women

50% Men - 50% Women

User stories & journey

The new digital platform achieved a significant uplift in user engagement, as evidenced by longer session durations and increased social media interaction. The innovative approach enhanced the client’s market presence and directly contributed to improved conversion rates, solidifying their reputation as an industry leader.

Conclusion

The research and design efforts aimed at enhancing the e-commerce experience for SugarBox Networks resulted in a more user-friendly and engaging platform. By addressing connectivity challenges and incorporating features like personalised recommendations and efficient checkout processes, the platform is poised to increase user satisfaction and drive sales among commuters. This approach not only benefits users but also opens new avenues for brands to reach a wider audience through SugarBox's innovative technology.

Lets create

incredible work together.

Email

pavanshettyv@gmail.com

Call Me

+91-9886440318

Social

Based in Bangalore, India

© 2025 Pavan Shetty

Design

Lets create

incredible work together.

Email

pavanshettyv@gmail.com

Call Me

+91-9886440318

Social

Based in Bangalore, India

© 2025 Pavan Shetty

Design

Lets create

incredible work together.

Email

pavanshettyv@gmail.com

Call Me

+91-9886440318

Social

Based in Bangalore, India

© 2025 Pavan Shetty

Design